Earticle

초록

영어

The purpose of this study is to find which statistical test shows better results in collocating patterns of Maritime English vocabulary, along with exploring optimal window spans. We use frequency, hypothesis testing such as log-likelihood, z-test, and t-test, and information theory-based statistical methods such as Mutual Information and Mutual Information 3, looking at some samples of all the significant collocates of the top several keywords extracted from the Maritime English corpus against the BNC Baby as a reference corpus. To find a proper ‘cut-off’ span position, we observe average frequency of collocates of near synonyms like maritime/marine,ship/ships,andvessel/vessels. Our analysis of collocational patterns is both statistical and linguistic because we reclassify significant collocations into selected collocates intuitively judged by Maritime English teachers. A study of collocational patterns involving statistical and linguistic analysis will ultimately lead to a better understanding of how the Maritime English corpus works.

목차

Abstract
 1. 서론
 2. 선행연구
 3. 자료 및 연구방법
  3.1. 자료
  3.2. 키워드 추출
  3.3. 통계적 연어 측정방법
 4. 연구결과 및 토의
  4.1. 상위 키워드 연어의 빈도 측정방법의 윈도우 구간비교:대상 어휘와 연어는 타입 또는 레마 어느 것이 타당할까?
  4.2. 상위 키워드 연어의 가설검증방법과 정보이론의 통계측정방식별 윈도우 구간 비교
  4.3. 적절한 통계를 선택하는 기준은 무엇인가?
 5. 결론
 참고문헌

키워드

해사영어 비엔시 베이비 키워드 연어유형 빈도 로그라이클리후드 지검증 티검증 상호정보 상호정보3 윈도우 구간 Maritime English BNC Baby keyword collocational pattern frequency log-likelihood z-test t-test Mutual Information Mutual Information 3 window span

저자

• 장세은 [ Se-Eun Jhang | 한국해양대학교 ]
• 이성민 [ Sung-Min Lee | 한국해양대학교 ]

참고문헌

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